html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue https://github.com/pydata/xarray/pull/3087#issuecomment-509769833,https://api.github.com/repos/pydata/xarray/issues/3087,509769833,MDEyOklzc3VlQ29tbWVudDUwOTc2OTgzMw==,1217238,2019-07-09T19:12:19Z,2019-07-09T19:12:19Z,MEMBER,"I'm going to merge this shortly, and leave further clean-up for later.","{""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,464888388 https://github.com/pydata/xarray/pull/3087#issuecomment-509300142,https://api.github.com/repos/pydata/xarray/issues/3087,509300142,MDEyOklzc3VlQ29tbWVudDUwOTMwMDE0Mg==,1217238,2019-07-08T16:37:44Z,2019-07-08T16:37:44Z,MEMBER,"Yeah, I'm not quite sure how we want to handle the datetime64 with timezones warnings. Possibly we just want to silence them in our test suite, and enocourage users to explicitly cast their pandas data to a dtype supported by numpy before loading it into xarray. Doing that properly would require the equivalent of ""re-raising"" a warning. ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,464888388